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This research establishes that calculating nonstabilizerness—a key resource distinguishing quantum advantage from classical simulation—is computationally intractable ($\# P$ hard) for two-dimensional tensor network states, even with constant bond dimensions. The findings imply that no efficient classical or quantum algorithm exists to solve these problems in the worst case under standard complexity assumptions, fundamentally limiting our ability to diagnose many-body quantum resources using compact representations in 2D systems.
Nonstabilizerness of quantum tensor network states is intractable in two dimensions
arXiv:2609.31459v1 Announce Type: new Abstract: Nonstabilizerness is a necessary resource for quantum systems to lie beyond the classically simulable regime. With the advent of stabilizer $\alpha$-R\'enyi entropies, nonstabilizerness has also become a many-body diagnostic, complementary to entanglement. While deciding whether an arbitrary quantum state has nonstabilizerness is provably hard, such states already require a description exponentially large in the number of qubits and are thus out of reach for many-body physics. Here we instead consider 2D tensor network (TN) states, which compactly capture states obeying an entanglement area law, and ask whether they admit a simpler algorithm for the same task. In contrast to the 1D case, we prove that, even at small, constant bond dimension, computing the stabilizer entropy of 2D TN states is $\# P$ hard for any integer $\alpha\ge 2$, and deciding stabilizer membership is $\rm C_{=} P $ complete. Hence, under standard complexity assumptions, no classical or quantum algorithm with polynomial resources can solve either problem in the worst case. Both hardness results persist even when the problems are formulated up to constant additive accuracy.
Abstract:Nonstabilizerness is a necessary resource for quantum systems to lie beyond the classically simulable regime. With the advent of stabilizer $\alpha$-Rényi entropies, nonstabilizerness has also become a many-body diagnostic, complementary to entanglement. While deciding whether an arbitrary quantum state has nonstabilizerness is provably hard, such states already require a description exponentially large in the number of qubits and are thus out of reach for many-body physics. Here we instead consider 2D tensor network (TN) states, which compactly capture states obeying an entanglement area law, and ask whether they admit a simpler algorithm for the same task. In contrast to the 1D case, we prove that, even at small, constant bond dimension, computing the stabilizer entropy of 2D TN states is $\# P$ hard for any integer $\alpha\ge 2$, and deciding stabilizer membership is $\rm C_{=} P $ complete. Hence, under standard complexity assumptions, no classical or quantum algorithm with polynomial resources can solve either problem in the worst case. Both hardness results persist even when the problems are formulated up to constant additive accuracy.
Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el)
arXiv:2609.31459 [quant-ph]
(or arXiv:2609.31459v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.31459 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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